Nariman Farsad
- Biomedical Engineering top 2%
- Molecular Communication and Nanonetworks 45
- Wireless Body Area Networks 37
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques 31
- Gene Regulatory Network Analysis 3
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- Energy Harvesting in Wireless Networks 13
- Wireless Communication Security Techniques 4
- Advanced Memory and Neural Computing 3
- Artificial Intelligence top 5%
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- EEG and Brain-Computer Interfaces 4
- Co-authors
- Andrew W. EckfordAndrea GoldsmithWeisi GuoChan‐Byoung ChaeSatoshi HiyamaH. Birkan YilmazYuki MoritaniChangmin Lee
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Nariman Farsad
58 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 67
- Biomedical Engineering 1.2k
- Molecular Biology 826
- Electrical and Electronic Engineering 608
- Artificial Intelligence 208
- Cellular and Molecular Neuroscience 99
Countries citing papers authored by Nariman Farsad
This map shows the geographic impact of Nariman Farsad's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nariman Farsad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nariman Farsad more than expected).
Fields of papers citing papers by Nariman Farsad
This network shows the impact of papers produced by Nariman Farsad. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nariman Farsad. The network helps show where Nariman Farsad may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nariman Farsad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 15 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 9 | |
| 4 | 2019 | 37 | |
| 5 | 2018 | 10 | |
| 6 | 2018 | 32 | |
| 7 | 2018 | 10 | |
| 8 | 2018 | 8 | |
| 9 | 2017 | 12 | |
| 10 | 2017 | 8 | |
| 11 | 2016 | 142 | |
| 12 | 2016 | 2 | |
| 13 | 2015 | 33 | |
| 14 | 2015 | 9 | |
| 15 | 2014 | 26 | |
| 16 | 2013 | 186 | |
| 17 | Channel design and optimization of active transport molecular communication | 2012 | 2 |
| 18 | 2012 | 75 | |
| 19 | 2012 | 2 | |
| 20 | 2011 | 14 |
About Nariman Farsad
Nariman Farsad is a scholar working on Biomedical Engineering, Molecular Biology and Developmental Biology, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Molecular Communication and Nanonetworks (45 papers), Wireless Body Area Networks (37 papers), Advanced biosensing and bioanalysis techniques (31 papers), Energy Harvesting in Wireless Networks (13 papers), Wireless Communication Security Techniques (4 papers), EEG and Brain-Computer Interfaces (4 papers), Gene Regulatory Network Analysis (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Biomedical Engineering (1.2k citations), Molecular Biology (826 citations) and Electrical and Electronic Engineering (608 citations). Nariman Farsad has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Andrew W. Eckford, Andrea Goldsmith, Weisi Guo, Chan‐Byoung Chae, Satoshi Hiyama, H. Birkan Yilmaz, Yuki Moritani, Changmin Lee, Na‐Rae Kim and Vahid Jamali. Their work appears in journals such as PLoS ONE, IEEE Transactions on Signal Processing and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.